Modeling nonlinear time-dependent treatment effects: an application of the generalized time-varying effect model (TVEM)

Journal of Consulting and Clinical Psychology
Mariya ShiykoBernard J Park

Abstract

The goal of this article is to introduce to social and behavioral scientists the generalized time-varying effect model (TVEM), a semiparametric approach for investigating time-varying effects of a treatment. The method is best suited for data collected intensively over time (e.g., experience sampling or ecological momentary assessments) and addresses questions pertaining to effects of treatment changing dynamically with time. Thus, of interest is the description of timing, magnitude, and (nonlinear) patterns of the effect. Our presentation focuses on practical aspects of the model. A step-by-step demonstration is presented in the context of an empirical study designed to evaluate effects of surgical treatment on quality of life among early stage lung cancer patients during posthospitalization recovery (N = 59; 61% female, M age = 66.1 years). Frequency and level of distress associated with physical symptoms were assessed twice daily over a 2-week period, providing a total of 1,544 momentary assessments. Traditional analyses (analysis of covariance [ANCOVA], repeated-measures ANCOVA, and multilevel modeling) yielded findings of no group differences. In contrast, generalized TVEM identified a pattern of the effect that varied in ...Continue Reading

Citations

Jan 25, 2016·Administration and Policy in Mental Health·Haiyi XieGregory J McHugo
Jul 8, 2015·Addictive Behaviors·Stephanie T Lanza, Sara A Vasilenko
Jan 10, 2018·Journal of Youth and Adolescence·Katherine W PaschallMegan Kuhfeld
Sep 17, 2019·Prevention Science : the Official Journal of the Society for Prevention Research·Andrea SwartzendruberRegine Haardörfer
Mar 25, 2019·Social Psychiatry and Psychiatric Epidemiology·Rebecca J Evans-PolceSean Esteban McCabe
Jul 12, 2018·Journal of Behavioral Medicine·Mariya P ShiykoJack E Burkhalter

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